This post discusses the time complexities of different Python data structures and algorithms. It provides a cheat sheet for time complexity and explains how it affects code performance. The post covers the time complexities of list operations, deque operations, dictionary operations, set operations, Counter operations, heapq operations, and bisect operations. It also provides tips on optimizing code by considering time complexity and thinking in orders of magnitude.
Table of contents
Time Complexity ⏱️List 📋Double-Ended Queue ↔️Dictionary 🗝️Set 🎨Counter 🧮Heap / Priority Queue ⛰️Sorted List 🔤Traversal Techniques 🔍Other Data Structures? 📚Beware of Loops-in-Loops! 🤯Mind Your Data Structures 🗃️47 Impressions